A hybrid DEMATEL-FRACTAL method of handling dependent evidences S Mao, Y Han, Y Deng, D Pelusi Engineering Applications of Artificial Intelligence 91, 103543, 2020 | 55 | 2020 |
Time series forecasting based on complex network analysis S Mao, F Xiao IEEE Access 7, 40220-40229, 2019 | 50 | 2019 |
A novel method for forecasting construction cost index based on complex network S Mao, F Xiao Physica A: statistical mechanics and its applications 527, 121306, 2019 | 20 | 2019 |
UPANets: Learning from the Universal Pixel Attention Networks CH Tseng, SJ Lee, J Feng, S Mao, YP Wu, JY Shang, XJ Zeng Entropy 24 (9), 1243, 2022 | 13 | 2022 |
SimVGNets: similarity-based visibility graph networks for carbon price forecasting S Mao, XJ Zeng Expert Systems with Applications 230, 120647, 2023 | 11 | 2023 |
Alternatives selection for produced water management: A network-based methodology S Mao, Y Deng, D Pelusi Engineering Applications of Artificial Intelligence 91, 103556, 2020 | 11 | 2020 |
EDU-level Extractive Summarization with Varying Summary Lengths Y Wu, CH Tseng, J Shang, S Mao, G Nenadic, XJ Zeng Findings of the Association for Computational Linguistics: EACL 2023, 2023 | 3 | 2023 |
Construction cost index prediction: A visibility graph network method S Mao, CH Tseng, J Shang, Y Wu, XJ Zeng 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 2 | 2021 |
Time Series Analysis for Education: Methods, Applications, and Future Directions S Mao, C Zhang, Y Song, J Wang, XJ Zeng, Z Xu, Q Wen arXiv preprint arXiv:2408.13960, 2024 | | 2024 |
Learning Visibility Attention Graph Representation for Time Series Forecasting S Mao, XJ Zeng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
AVGNets: Angular Visibility Graph Networks with Probability Attention for Time Series Forecasting S Mao, XJ Zeng IJCAI’23 Workshop on Artificial Intelligence for Time Series Analysis (AI4TS), 2023 | | 2023 |